EP3391335A4 - Automatic nuclear segmentation - Google Patents

Automatic nuclear segmentation Download PDF

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Publication number
EP3391335A4
EP3391335A4 EP16876451.2A EP16876451A EP3391335A4 EP 3391335 A4 EP3391335 A4 EP 3391335A4 EP 16876451 A EP16876451 A EP 16876451A EP 3391335 A4 EP3391335 A4 EP 3391335A4
Authority
EP
European Patent Office
Prior art keywords
nuclear segmentation
automatic nuclear
automatic
segmentation
nuclear
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP16876451.2A
Other languages
German (de)
French (fr)
Other versions
EP3391335A1 (en
Inventor
Walter GEORGESCU
Kiran Saligrama
Allen Olson
Bharat ANNALDAS
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Leica Biosystems Imaging Inc
Original Assignee
Leica Biosystems Imaging Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Leica Biosystems Imaging Inc filed Critical Leica Biosystems Imaging Inc
Publication of EP3391335A1 publication Critical patent/EP3391335A1/en
Publication of EP3391335A4 publication Critical patent/EP3391335A4/en
Withdrawn legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/695Preprocessing, e.g. image segmentation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/759Region-based matching

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Multimedia (AREA)
  • Epidemiology (AREA)
  • Bioethics (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Biotechnology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Geometry (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
EP16876451.2A 2015-12-15 2016-12-12 Automatic nuclear segmentation Withdrawn EP3391335A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562267775P 2015-12-15 2015-12-15
PCT/US2016/066200 WO2017106106A1 (en) 2015-12-15 2016-12-12 Automatic nuclear segmentation

Publications (2)

Publication Number Publication Date
EP3391335A1 EP3391335A1 (en) 2018-10-24
EP3391335A4 true EP3391335A4 (en) 2019-07-17

Family

ID=59057884

Family Applications (1)

Application Number Title Priority Date Filing Date
EP16876451.2A Withdrawn EP3391335A4 (en) 2015-12-15 2016-12-12 Automatic nuclear segmentation

Country Status (5)

Country Link
US (1) US10108779B2 (en)
EP (1) EP3391335A4 (en)
JP (1) JP6559353B2 (en)
CN (1) CN108352069B (en)
WO (1) WO2017106106A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11232567B2 (en) * 2016-06-03 2022-01-25 Koninklijke Philips N.V. Biological object detection
US10502941B2 (en) * 2017-09-29 2019-12-10 Leica Biosystmes Imaging, Inc. Two-dimensional and three-dimensional fixed Z scanning
CN211668521U (en) * 2018-05-31 2020-10-13 上海快仓智能科技有限公司 Automatic guide vehicle for image acquisition and processing system
US10853704B2 (en) * 2018-12-18 2020-12-01 Clarifai, Inc. Model-based image labeling and/or segmentation

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PT2779089T (en) * 2010-07-30 2019-02-19 Fund D Anna Sommer Champalimaud E Dr Carlos Montez Champalimaud Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions
EP2463821A1 (en) * 2010-12-08 2012-06-13 Alcatel Lucent Method and system for segmenting an image
AU2011265383A1 (en) * 2011-12-20 2013-07-04 Canon Kabushiki Kaisha Geodesic superpixel segmentation
US8849050B2 (en) * 2012-11-08 2014-09-30 Seiko Epson Corporation Computer vision methods and systems to recognize and locate an object or objects in one or more images
CN103353938B (en) * 2013-06-14 2016-04-13 山东大学 A kind of cell membrane dividing method based on hierarchical level feature
TWI496112B (en) * 2013-09-13 2015-08-11 Univ Nat Cheng Kung Cell image segmentation method and a nuclear-to-cytoplasmic ratio evaluation method using the same
CN103489187A (en) * 2013-09-23 2014-01-01 华南理工大学 Quality test based segmenting method of cell nucleuses in cervical LCT image
EP2874119A1 (en) * 2013-11-19 2015-05-20 Thomson Licensing Method and apparatus for generating superpixels
US9430830B2 (en) * 2014-01-30 2016-08-30 Case Western Reserve University Spatially aware cell cluster (SPACCL) graphs
CN103927758B (en) * 2014-04-30 2017-02-15 重庆大学 Saliency detection method based on contrast ratio and minimum convex hull of angular point
CN103984958B (en) * 2014-05-07 2017-11-07 深圳大学 Cervical cancer cell dividing method and system
CN104063707B (en) * 2014-07-14 2017-05-24 南京原觉信息科技有限公司 Color image clustering segmentation method based on multi-scale perception characteristic of human vision
EP3779779A1 (en) * 2014-08-04 2021-02-17 Ventana Medical Systems, Inc. Image analysis system using context features
WO2016075096A1 (en) * 2014-11-10 2016-05-19 Ventana Medical Systems, Inc. Classifying nuclei in histology images
CN104766324B (en) * 2015-04-08 2016-04-13 山东大学 Based on the colored blood cell image leucocyte dividing method of super-pixel and abnormality detection

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
AKBAR SHAZIA ET AL: "Tumor localization in tissue microarrays using rotation invariant superpixel pyramids", 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), IEEE, 16 April 2015 (2015-04-16), pages 1292 - 1295, XP033179691, DOI: 10.1109/ISBI.2015.7164111 *
See also references of WO2017106106A1 *
STEVE EDDINS ET AL: "6/5/2019 The Watershed Transform: Strategies for Image Segmentationarticles/the-watershed-transform-strategies-for-image... 1/6 The Watershed Transform: Strategies for Image Segmentation", 1 January 2013 (2013-01-01), XP055594468, Retrieved from the Internet <URL:https://web.archive.org/web/20141009010539/https://www.mathworks.com/company/newsletters/articles/the-watershed-transform-strategies-for-image-segmentation.html> [retrieved on 20190605] *
ZHANG CHONG ET AL: "Cell Detection and Segmentation Using Correlation Clustering", 14 September 2014, INTERNATIONAL CONFERENCE ON COMPUTER ANALYSIS OF IMAGES AND PATTERNS. CAIP 2017: COMPUTER ANALYSIS OF IMAGES AND PATTERNS; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER, BERLIN, HEIDELBERG, PAGE(S) 9 - 16, ISBN: 978-3-642-17318-9, XP047312304 *

Also Published As

Publication number Publication date
CN108352069B (en) 2022-11-25
JP6559353B2 (en) 2019-08-14
WO2017106106A1 (en) 2017-06-22
US20170300617A1 (en) 2017-10-19
EP3391335A1 (en) 2018-10-24
JP2019502994A (en) 2019-01-31
CN108352069A (en) 2018-07-31
US10108779B2 (en) 2018-10-23

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